Data Science Manager - Recommendation Systems (Retail and Luxury)

A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies.

Responsibilities

Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback

Requirements

Proven experience in machine learning, particularly in recommendation systems and deep learning architecturesStrong understanding of two-tower neural networks, embedding techniques, and ranking modelsProficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch)Familiarity with cloud platforms (GCP, AWS, Azure) and tools like DataikuExperience with ML Ops, including deployment, monitoring, and retraining pipelinesAbility to work cross-functionally with marketing, CRM, and engineering teamsExcellent communication and stakeholder management skillsExperience in a global or multi-regional context is a plus